390 Business Intelligence (BI) courses delivered Online

Learn advanced joins, folder and workbook integration, and data transformation in our 120-minute course on Microsoft Excel Power Query.

Become a certified Tableau Data Analyst through our Data Analytics course. Gain the skills to analyze and visualize data using Tableau.

Get started with using linear algebra in your data science projects

Managing a business can be critical at times, especially when you are new to the vast areas of business process management; you need some guidance to get the job done correctly. This business process management guide breaks down this multi-layered task into several modules. This way, in a few simple steps, you will gain an in-depth understanding of what business process management is. You will learn how every department of an organisation works and how your input can make these processes easier. Learning Outcomes of The Business Process Management: Get an overview of the management aspect of any business and/or organisation Learn the fundamentals of business process management systems Recognise the pattern among any business process and optimise them in an effective way Understand every stage of the life cycle of business processes Why choose this course Earn a digital Certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer, tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full tutor support on weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of: Online study materials Mock exams Multiple-choice assessment Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate. A printed copy by post is also available at an additional cost of £9.99, and PDF Certificates are £4.99. Who is this course for? This business process management online course is a must for anybody looking to start or aspiring to be a better business manager. It will also be helpful to aspiring business analysts. Career Path The course is suitable for those in the roles of: Business Manager Business Improvement Manager Business Analyst / Business Process Analyst Project Manager Course Content **Business Management** Module 01: Basics of Business Process Management The Fundamentals of Business Process Management 00:30:00 Defining Business Process Management 00:30:00 The Business Process Life Cycle 00:15:00 Module 02: The Vision, Design & Execution Phase of Business Management The Vision Phase 00:15:00 The Design Phase 01:00:00 The Execution Phase 01:00:00 Module 03: The Monitoring & Optimising Phase of Business Management The Monitoring Phase 00:30:00 The Optimising Phase 00:10:00 Module 04: Project Management Project Management 00:40:00 Module 05: Marketing, Positioning and Pricing Marketing and Its Components 00:05:00 Positioning and Pricing 00:05:00 Module 06: Selling and Negotiating Selling and Negotiating 00:10:00 Module 07: Leadership and Management Leadership and Management 00:25:00 Module 08: Five Practices and Change Management Five Practices 00:15:00 Managing Change 00:30:00 Module 09: Critical Thinking Critical Thinking 00:40:00 Module 10: Business Relationship Management Managing Relationships 01:00:00 Module 11: Meeting Management Meeting Management 01:00:00 Module 12: Infrastructure of the Information Technology for Business Management IT Infrastructure and Emerging Technologies 00:15:00 Foundations of Business Intelligence : Databases and Information Management 00:15:00 Telecommunications, Internet, and Wireless Technology 00:15:00 Securing Information Systems 01:00:00 Module 13: Key System Applications for the Digital Business Achieving Operational Excellence and Customer Intimacy: Enterprise Applications 00:30:00 E-Commerce : Digital Markets, Digital Goods 00:30:00 Knowledge Management Systems 00:30:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

This comprehensive bundle course is designed to provide our learners with a more in-depth understanding of the financial aspects of business management. By combining these relevant CPD courses, they will be fully equipped with the essential skills to manage business accounts effectively and with confidence. Develop a broad understanding of business organisations and all areas of business operations with this beginner's Business Management course. This comprehensive training course is designed to help learners familiarise with the stages of the business process life cycle, the critical practices of business process management. It covers relationship, meeting and change management, helping learners to develop their skills in problem-solving and critical thinking. This course is ideal for aspiring business managers, account executives and business analysts. Discover everything you need to know about recording financial transactions and business accounting with our beginner's guide to Bookkeeping Course. Throughout this course, learners will develop their knowledge of fundamental bookkeeping practices and principles, with an in-depth look at computerised and manual bookkeeping systems. Key topics include ledgers and the different types of ledgers, preparing a trial balance, coding, balance sheets and PNL accounting. This course includes practical training for a wide range of bookkeeping roles. Learning Outcomes of The Business Management & Bookkeeping Training: Learn the fundamental principles and practices of business process management Gain a solid understanding of each stage within the business process life cycle Equip yourself with the essential skills required for successful project management Understand the importance of critical thinking for problem-solving in business Get step-by-step guidance on how to manage business meetings efficiently Familiarise with the benefits and processes of manual & computerised bookkeeping Learn how to prepare, trial balances, balance sheets and financial reports Fast track your career in bookkeeping with an internationally-recognised certificate Understand the basics of profit and loss (PNL) accounting and taxation Develop your understanding of cost coding and the different coding systems Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Who is this course for? This 2-in-1 bundle course is ideal for aspiring business managers and those who are not yet in a bookkeeping role and wish to develop their practical skills and knowledge to improve their career prospects in this sector. It is suitable for a wide range of bookkeeping roles and entry-level roles within the financial sector. Career Path On successful completion, learners will have a fundamental knowledge of bookkeeping for better business management, which will open doors for them in roles such as: Business Manager Bookkeeper Junior Accountant Financial Analyst Internal Auditor Course Content **Business Management** Module 01: Basics of Business Process Management The Fundamentals of Business Process Management 00:30:00 Defining Business Process Management 00:30:00 The Business Process Life Cycle 00:15:00 Module 02: The Vision, Design & Execution Phase of Business Management The Vision Phase 00:15:00 The Design Phase 01:00:00 The Execution Phase 01:00:00 Module 03: The Monitoring & Optimising Phase of Business Management The Monitoring Phase 00:30:00 The Optimising Phase 00:10:00 Module 04: Project Management Project Management 00:40:00 Module 05: Marketing, Positioning and Pricing Marketing and Its Components 00:05:00 Positioning and Pricing 00:05:00 Module 06: Selling and Negotiating Selling and Negotiating 00:10:00 Module 07: Leadership and Management Leadership and Management 00:25:00 Module 08: Five Practices and Change Management Five Practices 00:15:00 Managing Change 00:30:00 Module 09: Critical Thinking Critical Thinking 00:40:00 Module 10: Business Relationship Management Managing Relationships 01:00:00 Module 11: Meeting Management Meeting Management 01:00:00 Module 12: Infrastructure of the Information Technology for Business Management IT Infrastructure and Emerging Technologies 00:15:00 Foundations of Business Intelligence : Databases and Information Management 00:15:00 Telecommunications, Internet, and Wireless Technology 00:15:00 Securing Information Systems 01:00:00 Module 13: Key System Applications for the Digital Business Achieving Operational Excellence and Customer Intimacy: Enterprise Applications 00:30:00 E-Commerce : Digital Markets, Digital Goods 00:30:00 Knowledge Management Systems 00:30:00 **Bookkeeping Training** Bookkeeping Introduction 00:02:00 Introduction to the course Introduction to Bookkeeping 00:15:00 Bookkeeping systems Manual System 00:10:00 Computerised Systems 00:10:00 How it Fits Together 00:08:00 Basics of Bookkeeping Bookkeeping Basics 00:30:00 The functionality of bookkeeping Ledgers 00:10:00 Trial Balance and Coding 00:10:00 PNL Account and Balance Sheet 00:04:00 On a personal note AILE Personal 00:05:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

A beginner's level course that will help you learn data engineering techniques for building metadata-driven frameworks with Azure data engineering tools such as Data Factory, Azure SQL, and others. You need not have any prior experience in Azure Data Factory to take up this course.

Business and Data Analysis with SQL is a comprehensive training in the theoretical and practical study of Data analysis and SQ language. This module is open to the people who want to elevate their business growth. Secure your position as an asset to the organization by learning SQL. Make your professional skill more productive by learning data analysis and SQL communication. The course exposes to you the details on computational and data investigational methods. It also highlights the basics of extracting data from the database storage. On completion of this online course, you will have an extensive understanding of how the database works and ways to function them properly, and thus be able to make critical decisions like a professional. What you'll learn At the end of this course, you will have the ability to run your own data projects, work with databases and manage large datasets and provide meaningful business intelligence reports to your team. Requirements Be familiar with reports and data-based projects. Who this course is for: This course is aimed at business professionals who work with data of all sizes. You will learn the fundamentals of business intelligence and basic data warehouse development. Introduction Business and Data Analysis with SQL FREE 00:06:00 Database and Datawarehouse Design Introduction to Databases- A History 00:04:00 SQL Statement Categories 00:02:00 Capture data requirements 00:09:00 Physical Vs Logical Data Representations 00:03:00 Normalise data 00:07:00 Fact Tables 00:04:00 Aggregate data 00:07:00 Entity Relationship Diagrams (ERD's) 00:07:00 Extract, Transform and Load (ETL) 00:13:00 Structured Query Language (SQL) - Fundamentals MySQL Server Setup 00:05:00 MySQL Server Start and stop Service 00:02:00 Connect to database 00:07:00 Comments in SQL 00:05:00 Select data from a table 00:16:00 Table Indexes 00:08:00 Table and Column Aliases 00:05:00 Inner Join Tables 00:02:00 Left and Right Outer Table Joins 00:04:00 Union (all) Results 00:04:00 Project Management Project Management (Agile Methodology) 00:11:00 Kanban boards 00:09:00 Prioritise Requirements using MoSCoW 00:04:00 Sales Project Sales Project - Introduction 00:05:00 Create and Drop Database 00:05:00 Query Workflow 00:09:00 Sales Project - Part 1 - Data Capture 00:15:00 Sales Project - Part 2 - Data Analysis 00:08:00 Sales Project - Part 3 - Data Summary 00:12:00 Sales Project - Part 4 - Send to production 00:09:00 MySQL Query Explain Plan 00:07:00 Common Table Expressions (WITH) 00:14:00 Data Control Language (DCL) User Administration 00:13:00 MySQL Programs MySQL Set Windows Environment Variable 00:05:00 MySQL Command Line 00:17:00 Visualising Data Export results to Excel 00:06:00 Setup MySQL ODBC (Open Database Connector) 00:11:00 Creating a report in Microsoft Excel 00:21:00 Course Certification

Explore the diverse realm of Big Data Analytics, delving into data mining, machine learning, and natural language processing. Uncover the ethical and legal dimensions, and gain practical insights through real-world case studies. Discover types of Big Data analytics, delve into the data mining process, and apply machine learning techniques. Learn about natural language processing principles, assess the impact across industries, and navigate ethical considerations. After the successful completion of this course, you will be able to: Identify the types of Big Data analytics, such as descriptive, predictive, and prescriptive analytics. Understand the data mining process and its role in Big Data analytics. Apply machine learning techniques like classification, regression, and clustering to analyse Big Data. Describe the principles and applications of natural language processing in Big Data analytics. Recognize the benefits and limitations of Big Data analytics in different industries, such as healthcare, finance, and marketing. Evaluate the accuracy and reliability of Big Data analytics results. Understand Big Data analytics's ethical and legal considerations, such as data privacy and intellectual property rights. Analyze case studies and examples of successful implementation of Big Data analytics in different industries, such as predicting customer churn, fraud detection, and personalized medicine. Immerse yourself in Big Data Analytics, mastering techniques to extract valuable insights. From predictive modelling to ethical considerations, this course empowers you with the skills to excel in a data-driven landscape, with applications ranging from healthcare to finance. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Big Data Analytics, Techniques and Models Self-paced pre-recorded learning content on this topic. Big Data Analytics Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be an added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone who is eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Big Data Analyst Data Scientist Machine Learning Engineer Business Intelligence Analyst Predictive Analytics Expert Information Architect Data Engineer AI Solutions Architect Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

What you will learn from this course? Gain comprehensive knowledge about business intelligence Understand the core competencies and principles of business intelligence Explore the various areas of business intelligence Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert business intelligence analyst Course Highlights Course Type: Self-paced online course Duration: 1 to 2 hours Tutor Support: Full tutor support is included Customer Support: 24/7 customer support is available Fraud: Focus on Inventory Course Master the skills you need to propel your career forward in business intelligence. This course will equip you with the essential knowledge and skillset that will make you a confident business intelligence analyst and take your career to the next level. This comprehensive fraud inventory course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this fraud inventory course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective business intelligence practice and equip you with the essential skills, confidence and competence to assist you in the business intelligence industry. You'll gain a solid understanding of the core competencies required to drive a successful career in business intelligence. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for business intelligence analyst or for people who are aspiring to specialise in business intelligence. Enrol in this fraud inventory course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive fraud inventory course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this business intelligence can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This fraud inventory course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This fraud inventory course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This fraud inventory course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Study Plex Subscription Study plex also provides a subscription option that allows you unlimited access to more than 700+ CPD courses for learning. You only need to spend £79 to take advantage of this fantastic offer, and you'll get an unlimited subscription for a full year. Additionally, you can cancel your membership from your account at any time by getting in touch with our friendly and devoted customer care team. Visit our subscriptions page for more details if you're interested. Why you should train with Study Plex? At Study Plex, you will have the chance to build social, technical and personal skills through a combination of extensive subjects tailored according to your interest. Along with receiving comprehensive knowledge and transferable skills, there are even more reasons o be involved with us, which include: Incredible Customer Support: We offer active customer service in the form of live chat, which you can access 24/7 Expert Tutor Support: You'll have access to our devoted and dedicated tutor support with all of our courses whenever you need it. Price Justified by Quality: We ensure that you will have the best experience possible for the price you are paying for the course. Money-back Guarantee: We provide a money-back guarantee if you are not satisfied with the course's quality. There is a 14-day time limit on this option (according to the terms and conditions). Instalment Facility: If your course costs more than £50, you can pay in three instalments using the instalment option. Satisfaction Guarantee: Our courses are designed to meet your demands and expectations by all means. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Introduction Fraud Tree: Focus on Inventory 01:28:00 Supplementary Resources Supplementary Resources - Fraud: Focus on Inventory 00:00:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

🚀 Unlock the Power of Data with Our Machine Learning Course! 🤖 Are you ready to dive into the revolutionary world of Machine Learning? Welcome to our comprehensive course designed to equip you with the skills and knowledge needed to harness the potential of data-driven decision-making. 🎓 Machine Learning has rapidly emerged as one of the most transformative technologies of the 21st century. From powering intelligent virtual assistants to revolutionizing healthcare diagnostics, its applications are boundless. With our expertly crafted course, you'll embark on a journey that will demystify the complexities of Machine Learning and empower you to leverage its capabilities for diverse purposes. 💡 Why Machine Learning? In today's data-driven world, organizations across industries are seeking professionals who can extract actionable insights from vast amounts of data. Machine Learning offers the tools and techniques necessary to analyze complex datasets, identify patterns, and make predictions with unprecedented accuracy. By mastering Machine Learning, you'll gain a competitive edge in the job market and position yourself as a valuable asset to any organization. 📈 What You'll Learn: Our Machine Learning course covers a wide array of topics, including: Fundamentals of Machine Learning algorithms Supervised, unsupervised, and reinforcement learning techniques Data preprocessing and feature engineering Model evaluation and validation Deep learning and neural networks Practical applications and case studies With hands-on projects and real-world examples, you'll not only understand the theory behind Machine Learning but also gain practical experience in implementing algorithms and solving complex problems. Whether you're a beginner or an experienced data professional, our course is tailored to accommodate learners of all levels. 📊 Who is this for? Our Machine Learning course is ideal for: Aspiring data scientists and analysts Software engineers looking to transition into Machine Learning roles Business professionals seeking to leverage data for strategic decision-making Students and academics interested in exploring the forefront of technology No matter your background or experience level, our course provides a solid foundation in Machine Learning principles and techniques, setting you on the path to success in this rapidly evolving field. 🌟 Career Path: By mastering Machine Learning, you'll open doors to a myriad of exciting career opportunities, including: Data Scientist Machine Learning Engineer AI Researcher Business Intelligence Analyst Data Engineer With the demand for Machine Learning professionals on the rise, employers are actively seeking individuals with the skills and expertise to drive innovation and deliver impactful solutions. Whether you're looking to advance your current career or embark on a new professional journey, our course will equip you with the tools and knowledge needed to thrive in today's competitive job market. 💼 FAQ: Q: Is prior programming experience required to enroll in the course? A: While prior programming experience can be beneficial, our course is designed to accommodate learners of all backgrounds. We provide comprehensive tutorials and resources to help you grasp the fundamentals of programming and get started with Machine Learning. Q: How long does it take to complete the course? A: The duration of the course varies depending on your pace and level of commitment. On average, most learners complete the course within 3 to 6 months. However, you have the flexibility to study at your own pace and revisit materials as needed. Q: Are there any prerequisites for enrolling in the course? A: While there are no strict prerequisites, familiarity with basic mathematics, statistics, and programming concepts can be advantageous. We provide supplementary materials and support to help you build the necessary foundation for success in the course. Q: Will I receive a certificate upon completion of the course? A: Yes, upon successfully completing the course requirements, you'll receive a certificate of completion that validates your proficiency in Machine Learning concepts and techniques. This certificate can enhance your credentials and demonstrate your expertise to potential employers. Q: How does the course structure accommodate working professionals? A: Our course offers flexible scheduling options, allowing you to balance your studies with your professional and personal commitments. With on-demand access to course materials and resources, you can learn at your own convenience and progress at a pace that suits your lifestyle. Don't miss out on the opportunity to unlock your full potential with our Machine Learning course! Enroll today and embark on a transformative journey that will shape the future of your career. 🌐✨ Course Curriculum Module 1_ Introduction to Machine Learning Introduction to Machine Learning 00:00 Module 2_ Linear Regression Linear Regression 00:00 Module 3_ Logistic Regression Logistic Regression 00:00 Module 4_ Decision Trees and Random Forests Decision Trees and Random Forests 00:00 Module 5_ Support Vector Machines (SVMs) Support Vector Machines (SVMs) 00:00 Module 6_ k-Nearest Neighbors (k-NN) k-Nearest Neighbors (k-NN) 00:00 Module 7_ Naive Bayes Naive Bayes 00:00 Module 8_ Clustering Clustering 00:00 Module 9_ Dimensionality Reduction Dimensionality Reduction 00:00 Module 10_ Neural Networks Neural Networks 00:00